Boris Shirokikh
Orcid: 0000-0002-2901-5789
According to our database1,
Boris Shirokikh
authored at least 21 papers
between 2018 and 2024.
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Bibliography
2024
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning.
CoRR, 2024
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.
CoRR, 2024
Biomed. Signal Process. Control., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023
J. Imaging, 2023
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
2022
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.
IEEE J. Biomed. Health Informatics, 2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency.
J. Imaging, 2022
CoRR, 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022
2021
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.
Medical Image Anal., 2021
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization.
J. Imaging, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
2020
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018